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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:00:17 UTC

[jira] [Updated] (SPARK-22196) Combine multiple input splits into a HadoopPartition

     [ https://issues.apache.org/jira/browse/SPARK-22196?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-22196:
---------------------------------
    Labels: bulk-closed  (was: )

> Combine multiple input splits into a HadoopPartition
> ----------------------------------------------------
>
>                 Key: SPARK-22196
>                 URL: https://issues.apache.org/jira/browse/SPARK-22196
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.2.0
>            Reporter: Vinitha Reddy Gankidi
>            Priority: Major
>              Labels: bulk-closed
>
> Spark native read path allows tuning the partition size based on spark.sql.files.maxPartitionBytes and spark.sql.files.openCostInBytes. It would be useful to add a similar functionality/behavior to HadoopRDD, i.e, pack multiple input splits into a single partition based on maxPartitionBytes and openCostInBytes. We have had several use-cases to merge small files by coalescing them by size to reduce the number of tasks launched. 



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